OpenAPI to production MCP server in under 30 minutes.
Every enterprise system needs a production-ready MCP server before AI can use it. MCPOps takes any OpenAPI specification to a hardened, governed MCP server and manages it for its whole life.
Hand-built MCP servers stall adoption.
Building one from scratch takes weeks: security gaps from day one, one-to-one API-to-tool mappings that overwhelm agents with hundreds of endpoints, no governance or audit trail, manual Kubernetes setup, and nothing to manage it after launch.
Design to operations, managed end to end.
AI MCP Assistant or OpenAPI upload, conversational or automatic
Business-oriented tools, resources and prompts. RBAC, rate limits, policies
Source, Dockerfile, Helm chart and Kubernetes CRDs committed to GitHub
CI/CD: clone, scan, build, push, deploy to Kubernetes
Upgrades, rollback, audit logs and observability
Business capability aggregation
Related APIs grouped into meaningful tools, cutting agent complexity, tool-discovery overhead and LLM cost.
Auth, RBAC & rate limits
Gateway with Azure AD, Okta and Auth0 integration, role-based access, per-tool limits and TLS/mTLS.
Zero-instrumentation observability
OpenTelemetry metrics, logs and traces from every server, exported to Azure Monitor, Grafana, Datadog or Splunk.
How it connects to Operational Intelligence
MCP is how agents reach enterprise systems. MCPOps makes that reach governed and observable, so Operational Intelligence can be served to agents through tools your security team already trusts.